Senior Data Engineer

Articulate (View all Jobs)

United States (Remote)

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I'm a one-man team looking to improve tech interviews, and could use any support! 😄


Interview Process

1. Take-home project 2. Pair program on a problem similar to daily work

Programming Languages Mentioned

SQL, Python


As Articulate and its customer base have rapidly grown, the quantity and source of operational data have accelerated. Finding new and optimal ways of leveraging the data sets empowers us to make better decisions and gain insights into key performance indicators.

We are looking for a full-time Sr. Data Engineer with experience in building data integrations using AWS technology stack and as well as building analytics layers. This role closely works with internal stakeholders cross-functionally to develop data models and pipelines for analysis and reporting. The ideal candidate has a passion for delighting internal customers and brings significant experience and skill in designing, building, and operating data warehousing solutions.

This position will report to our Sr. Director of Growth Insights.

What you'll do:

Data Engineering

Create and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources,  leveraging solutions like Terraform, Stitch, SnapLogic, and dbt.

Designing and implementing high-performance, reusable, and scalable data models for our data warehouse to ensure end-users get consistent and reliable answers to their questions.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., leveraging internal tools such as Github, dbt and etc. 

Oversee Data Engineering/Analytics Engineering work, and create a roadmap for data development at Articulate.

Optimize data access and knowledge sharing with the entire org.

Actively contribute to adopting solid data engineering architecture, development practices, and new technologies.

Analytics Engineering

Lead and support Analytics Engineers in building and maintaining the analytics layer of our team’s data environment to make data standardized and easily accessible.

Work closely with Product Engineering and Platform Engineering to ensure product changes integrate well with the analytics data model.

Maintain documentation around datasets, including Data Dictionary.

 

Data Engineering Roadmap

Oversee Data Engineering work, create a roadmap for data development at Articulate.

Actively contribute to the adoption of strong data engineering architecture, development practices, and new technologies.

 

Stakeholder Management

Communicate across the org with Platform, Product Engineering, Sales Ops, and Marketing teams to capture customer data integration requirements, conceptualize solutions & build a required technology stack, and to centralize data operations.

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility.

Be a resource for data users in the organization. Create awareness of available data. Assist our users with technical tasks including data extracts, report creation, SQL, and general data system troubleshooting.

 

Process Improvement

Oversee of GitHub repository, enforcing industry code version-control best practices.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Review and approve dbt and LookML code submitted by others prior to merging changes into production.

Be an advocate for data governance, security, privacy, quality, and retention.

What you should have:

Proven 7+ years experience in building/operating/maintaining fault-tolerant and scalable data processing integrations using AWS.

Proven experience in designing and building a data warehouse from a disparate set of sources.

Excellent knowledge of SQL, data modeling, and patterns.

Experience managing a process of reporting and analytics development on a data warehouse.

Proficient in developing LookML.

Rigorous attention to detail and accuracy.

Strong capacity to manage numerous projects is a must.

BS/MS degree in Computer Science or equivalent industry experience.

Excellent communication skills (we’re a geographically distributed team, 100% virtual).

Passion for creating Intelligent data pipelines that internal customers love to use.

Curiosity and a drive to understand and clarify complex topics.

Plus:

Python coding skills, particularly in the areas of automation & integrations

Past experience with data governance principles, KPI management, and supporting data operations for business intelligence

About us:

Articulate Global, LLC, is the leading SaaS provider of creator platforms for online workplace training. Founded by Adam Schwartz in 2002 and led by CEO Lucy Suros, Articulate provides creator tools and services that make it simple for enterprises and SMBs to develop, deliver, and analyze online workplace training that’s engaging and effective. 
 
Increasingly, organizations must reskill employees for ever-changing remote and hybrid work environments, create learning cultures that attract and retain employees in a tight labor market, and use training to build more equitable, empowering, and engaging workplaces. Articulate helps organizations address these critical business needs with its creator platform for workplace training. Articulate 360—a suite of creator tools for online courses—was named the 7th most-loved product in the world by TrustRadius in 2021. And Rise—an all-in-one online training system that makes online training easy to create, enjoyable to take, and simple to manage—is the first creator platform for SMBs and departments within the enterprise. Articulate has more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers.
 
Named one of Inc. Magazine’s Best Workplaces 2020 as well as Glassdoor's Top 50 Best Places to Work 2022, and a leader in building a human-centered organization, Articulate is guided by a commitment to provide the best value to customers, do right by employees, and create an equitable, empowering workplace for all. As a human-centered organization, we honor people’s humanity knowing that each person’s unique history, vulnerabilities, and social location inform how we show up with one another. We embrace our connectedness, aware that what we do and say impacts others. We give each other grace because we are all works in progress, learning and evolving every day. And we take responsibility for ourselves and are serious about our accountability to each other.  In all we do, we strive to create an equitable, sustainable, and empowering workplace while we drive results for the business and make a positive impact in the world. Read more about our values here.
 
Articulate welcomes different voices and viewpoints and does not discriminate on the basis of race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, native language, pregnancy status, physical size, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, and military or veteran status, or any other basis protected by law. We are an equal opportunity employer and invite applicants to voluntarily disclose their race and gender on our application form to help us create a diverse company. This voluntarily disclosed information will not be shared with any hiring manager and will be kept in confidence by the Articulate human resources department and executives who are not hiring for this position.

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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